title: Evaluation of syndromic surveillance in the Netherlands: its added value and recommendations for implementation.
abstract: In the last decade, syndromic surveillance has increasingly been used worldwide for detecting increases or outbreaks of infectious diseases that might be missed by surveillance based on laboratory diagnoses and notifications by clinicians alone. There is, however, an ongoing debate about the feasibility of syndromic surveillance and its potential added value. Here we present our perspective on syndromic surveillance, based on the results of a retrospective analysis of syndromic data from six Dutch healthcare registries, covering 1999–2009 or part of this period. These registries had been designed for other purposes, but were evaluated for their potential use in signalling infectious disease dynamics and outbreaks. Our results show that syndromic surveillance clearly has added value in revealing the blind spots of traditional surveillance, in particular by detecting unusual, local outbreaks independently of diagnoses of specific pathogens, and by monitoring disease burden and virulence shifts of common pathogens. Therefore we recommend the use of syndromic surveillance for these applications.
authors.affiliation: Rijksinstituut voor Volksgezondheid en Milieu (National Institute for Public Health and the Environment, RIVM), Bilthoven, the Netherlands. Kees.van.den.Wijngaard@rivm.nl
authors.forename: C C
authors.initials: CC
authors.lastname: van den Wijngaard
authors.forename: W
authors.initials: W
authors.lastname: van Pelt
authors.forename: N J
authors.initials: NJ
authors.lastname: Nagelkerke
authors.forename: M
authors.initials: M
authors.lastname: Kretzschmar
authors.forename: M P
authors.initials: MP
authors.lastname: Koopmans
mesh_terms: D023482:Bioterrorism / Q000517:prevention & control; D003140:Communicable Disease Control / Q000191:economics / Q000379:methods; D004196:Disease Outbreaks / Q000517:prevention & control; D006801:Humans; D009426:Netherlands / Q000453:epidemiology; D011159:Population Surveillance / Q000379:methods*; D040442:Public Health Informatics; D012042:Registries; D012107:Research Design; D012189:Retrospective Studies